STOCK MARKET PRICE PREDICTION USING LSTM

Registration ID: IJNRD_192907

Published ID: IJNRD2304723

DOI: Click Here to Get

Ramandeep Singh Bhomrah , Sarthak Sharma

Stock market price prediction , lstm

Abstract—The term ”stock market” often refers to a group of exchanges and locations where buyers and sellers come together to trade equity shares of publicly traded companies. The stock market is a part of a free-market economy since it gives all types of investors access to trading and capital exchange. Your entire investment might be lost in the stock market. Investors will sell a company’s shares if it performs poorly, which will cause the stock price to fall. You will not recover your initial investment when you sell. To address this, a range of Neural Network prediction techniques and algorithms were compared and examined. The pipeline works with the LSTM (Long Short- Term Memory) algorithm are more effective and aid in providing more prediction accuracy. This project’s objective is to forecast the stock price at various points in time, taking into account both the accuracy and efficiency of the market price.

Published Paper   E-Certificate

Ramandeep Singh Bhomrah & Sarthak Sharma (April-2023). STOCK MARKET PRICE PREDICTION USING LSTM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), h173-h177. https://ijnrd.org/papers/IJNRD2304723.pdf

Volume 8 Issue 4, April-2023

Pages : h173-h177

Paper Reg. ID: IJNRD_192907

Published Paper Id: IJNRD2304723

Downloads: 000121992

Research Area: Engineering

Country: Noida, Uttar Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304723.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304723

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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